Face Recognition Using Dense SIFT Feature Alignment

• Published in: Chinese Journal of Electronics Vol. 25; no. 6; pp. 1034 - 1039
• Main Authors: Zhou, Quan, Shafiq, ur Rehman, Zhou, Yu, Wei, Xin, Wang, Lei, Zheng, Baoyu
• Format: Journal Article
• Language: English
• Published: Published by the IET on behalf of the CIE 01.11.2016
• Subjects: dense scale‐invariant feature transform feature matching; Dense SIFT feature alignment; dense SIFT feature matching; Face recognition; generic transformation; image matching; image representation; learning (artificial intelligence); Sparse representation; test samples; training samples; transforms; Face recognition; Sparse representation; Dense SIFT feature alignment

This paper addresses face recognition problem in a more challenging scenario where the training and test samples are both subject to the visual variations of poses, expressions and misalignments. We employ dense Scale-invariant feature transform（SIFT） feature matching as a generic transformation to...